Atmosly Kubernetes Cost Optimization

Atmosly Kubernetes Cost Optimization helps teams examine and manage Kubernetes cloud spending across Amazon EKS, Google GKE, and Azure AKS. Its dashboard allocates costs by account, cluster, namespace, and service, with showback views by team. It flags idle workloads and orphaned volumes, provides daily budget alerts and monthly forecasts, and ranks reserved-instance and savings-plan opportunities by monthly savings. Right-sizing recommendations use workload p95 usage over time and include estimated dollar impact; teams can submit changes through reviewable pull requests. Cluster assessment can use read-only access, while changes require explicit approval. Cost telemetry requires an existing in-cluster Prometheus instance; the product page says kube-prometheus-stack works out of the box. The Personal plan is free forever for one engineer and one cluster, with recommendations in view-only mode and seven-day history. Team signups receive 30 days of Growth features, and self-serve signup does not require a credit card. Paid plans start at $399 a month. A self-hosted control plane is available on the Platform tier.

Atmosly combines Kubernetes cost allocation, forecasts, budget alerts, and right-sizing recommendations across three cloud platforms. Check the Prometheus prerequisite and plan limits against your cluster setup before choosing an option.

This product suits teams managing Kubernetes costs across EKS, GKE, or AKS clusters. The free Personal plan is limited to one engineer and one cluster, while teams can try Growth features for 30 days.

Atmosly Kubernetes Cost Optimization is a Kubernetes spend-allocation and optimization product for teams running workloads on Amazon EKS, Google GKE, or Azure AKS. It is best suited to teams that already use Prometheus and need accountable, reviewable cost changes; the free plan is a narrow fit for solo evaluation.

Overview

Atmosly brings cloud spend into a normalized view across three cloud platforms, breaking it down by account, cluster, namespace, and service. Team showback dashboards help make shared costs more attributable. That combination is useful for organizations where infrastructure bills span teams, though its value depends on having the Prometheus telemetry it requires already running in-cluster.

Recommendations draw on workload p95 usage over time and include estimated dollar impact. Teams can assess a connected cluster read-only, and changes require explicit approval through reviewable pull requests. That restraint makes the product a more suitable fit for teams that want optimization proposals without unattended workload changes.

Key features

• Cost allocation and showback: Automatic allocation across accounts, clusters, namespaces, and services gives teams a way to trace spend to workloads and owners. Team dashboards make this more actionable than a cluster-wide bill alone.
• Right-sizing: p95-based recommendations with estimated savings help prioritize oversized workloads. Reviewable pull requests keep the final decision with operators, but teams seeking automatic application should note that the Starter plan only includes manual apply.
• Commitment planning: Reserved-instance and savings-plan opportunities are ranked by monthly savings, a useful complement to workload-level tuning for teams managing cloud commitments.
• Budgets and idle resources: Daily budget alerts, monthly forecasts, and detection of idle workloads and orphaned volumes help surface both spending drift and waste before they become harder to address.
• Connections and telemetry: Atmosly supports a Helm-installed read-only agent or direct cloud integration, but cost telemetry relies on an existing in-cluster Prometheus instance; kube-prometheus-stack works out of the box. Teams without that monitoring foundation should account for setup before choosing it.

Pricing

The Personal plan is free forever, but it is designed for one engineer rather than a working team: it covers 1 cluster, 1 cloud account, 1 seat, 1 project, 2 environments, and 10 applications. Cost recommendations are view-only, with 7-day history, so it is useful for a small assessment rather than implementing an optimization program.

Starter costs $399 a month, billed annually ($3,990/yr) with 2 months free; its launch price is $199/mo for your first year. It includes 2 clusters, 2 cloud accounts, 25 seats, 100 AI actions/mo, cost recommendations with manual apply, and 30-day retention. This is the practical entry point for a team that wants to act on recommendations, but the annual billing term and limited cluster and action quotas matter for growing estates.

Growth costs $1,299 a month, billed annually ($12,990/yr) with 2 months free; its launch price is $799/mo for your first year. It expands coverage to 20 clusters and 10 cloud accounts, with 75 seats, 750 AI actions/mo, automated right-sizing, full cloud FinOps, and 180-day retention. It fits larger teams that need automation and longer history, though the jump in price makes it excessive for a small cluster footprint.

Enterprise has custom pricing with negotiated terms. It removes the published cluster, account, seat, and AI-action caps and adds a dedicated CSM, SLA, and optional managed services, making it the tier to consider when those limits or support needs are material. Team signups receive 30 days of Growth features, and self-serve signup does not require a credit card. Starter includes email support; Growth includes priority and Slack support.

Platforms

Atmosly supports Linux, web, and self-hosted environments. A self-hosted control plane is available on the Platform tier. The homepage says customer data never leaves the cluster and identifies Atmosly as ISO 27001 certified, with SOC 2 Type II in progress. Those stated assurances may matter to security-conscious teams, but the Prometheus prerequisite remains central to deployment planning.

Who it's for

Atmosly is a strong match for Kubernetes teams operating across EKS, GKE, or AKS that need to assign shared spend, forecast costs, and route right-sizing decisions through review. It is less compelling for a solo operator who needs changes applied—the free tier is view-only—or for teams unwilling to maintain Prometheus telemetry.

Pros and cons

• Pros: Cross-cloud normalized allocation and team showback cover three major Kubernetes cloud platforms in one view.
• Pros: p95-based recommendations include dollar impact, while pull-request approval gives operators control over changes.
• Pros: Forecasting, daily budget alerts, idle workload and orphaned volume detection, and commitment opportunities address several cost levers together.
• Cons: Existing in-cluster Prometheus is required, so teams without it face a prerequisite before cost telemetry is useful.
• Cons: Personal limits use to one seat and view-only recommendations; meaningful action starts with a paid plan.
• Cons: Starter and Growth are billed annually, and cluster, account, seat, and AI-action limits may constrain teams as usage expands.

Alternatives

For a broader comparison, see Kubernetes Cost Management Software.

• KubeAdapt may suit readers who prefer an allowance covering the first 100 vCPU across an account, with all features and email support.
• Krossboard is another freemium option for readers comparing Kubernetes cost tools.
• PerfectScale may fit teams seeking a free allowance of up to 200 vCPU/month with unlimited clusters, nodes, and pods.
• CloudBolt is worth considering if a free core CMP with up to 100 resources is the priority.
• Klustercost is an option for readers seeking open-source software under GPL-3.0.
• KubeLedger may suit internal users who want a free self-hosted option whose source code is available, but which cannot be sold as a managed service.
• Podledger offers a forever-free self-hosted Community plan for one cloud with basic dashboards and pod-level cost visibility.
• IBM Kubecost is an alternative for readers comparing OpenCost or a free tier with a 250-core limit and a $100K spend cap over 30 days.

Verdict

Choose Atmosly if your team already has Prometheus and needs cross-cloud allocation, forecasts, and controlled right-sizing across EKS, GKE, or AKS. Its strongest case is the combination of cost attribution and reviewable optimization proposals; look elsewhere if you need a useful free tier for applying changes or want to avoid an annual paid commitment.